policy learning

Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning CoRL 2022 Understanding the Evolution of Linear Regions in Deep Reinforcement Learning NeurIPS 2022 Using Reinforcement Learning for Operating Educational Campuses Safely during a Pandemic (Student Abstract) AAAI 2022 Value Function Decomposition for Iterative Design of Reinforcement Learning Agents NeurIPS 2022 A Constrained Multi-Objective Reinforcement Learning Framework CoRL 2021 Advice-Guided Reinforcement Learning in a non-Markovian Environment AAAI 2021 A General Offline Reinforcement Learning Framework for Interactive Recommendation AAAI 2021 Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems NAACL 2021 Alohamora: Reviving HTTP/2 Push and Preload by Adapting Policies On the Fly NSDI 2021 A Regret Minimization Approach to Iterative Learning Control ICML 2021 A System for General In-Hand Object Re-Orientation CoRL 2021 Augmenting Policy Learning with Routines Discovered from a Single Demonstration AAAI 2021 BCORLE(λ): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market NeurIPS 2021 Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021 Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management AAAI 2021 Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality NeurIPS 2021 Conservative Data Sharing for Multi-Task Offline Reinforcement Learning NeurIPS 2021 Data-to-text Generation by Splicing Together Nearest Neighbors EMNLP 2021 Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation ICML 2021 Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback AAAI 2021 Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization ICLR 2021 Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy EMNLP 2021 Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations ICML 2021 Exploring Dynamic Selection of Branch Expansion Orders for Code Generation ACL 2021 Faster Policy Learning with Continuous-Time Gradients L4DC 2021